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基于水平集的牛乳体细胞图像分割方法的研究 被引量：1

Studies on Segmentation Methods of Milk Somatic Cell Images Based on Level Set
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摘要 水平集分割算法已被广泛地应用在图像分割中,主要缺点是计算效率低。在分析基于水平集各种分割算法的基础上,提出一种基于模板优化的水平集算法,对牛乳体细胞图像进行分割。经实验验证,该算法在分割精度和速度等方面都取得较为满意的效果。 Level set methods have been extensively used in image segmentation.But their implementation is complex and computationally expensive.By analyzing all segmentation algorithms based on level set,a new one based on template is proposed.The experiment results show that this algorithm can obtain1 the satisfactory effect in segmentation precision and speed.
作者 闫克裕 薛河儒
机构地区 内蒙古农业大学机电工程学院 内蒙古农业大学计算机与信息工程学院
出处 《计算机与数字工程》 2008年第1期95-97,共3页 Computer & Digital Engineering
关键词 水平集 牛乳体细胞 图像分割 level set,milk somatic cell,image segmentation
分类号 TP317.4 [自动化与计算机技术—计算机软件与理论]
  • 相关文献

参考文献5

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  • 4Chunming Li, Chenyang Xu, Changfeng Gui, and Martin D. Fox. Level set formulation without re - initialization: a new variational formulation. Proc. 2005 IEEE CVPR, San Diego 2005,1:430 - 436
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共引文献38

同被引文献11

  • 1马春梅,刘贵如,王陆林.图像分割技术在医学图像处理中的应用研究[J].太原科技,2007(3):64-65. 被引量：4
  • 2[2]Milan Sonka,Vaelav Hlavac,Roger Boyle.图像处理、分析与视觉(中文版)[M].第二版.北京:人民邮电出版社,2003:83-138.
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计算机与数字工程
2008年 第1期

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